Reducing outpatient wait times through telemedicine: a systematic review and quantitative analysis

被引:0
|
作者
Capodici, Angelo [1 ,2 ]
Noci, Francesca [2 ]
Nuti, Sabina [2 ]
Emdin, Michele [2 ,3 ]
Dalmiani, Stefano [3 ]
Passino, Claudio [2 ,3 ]
Hernandez-Boussard, Tina [4 ]
Giannoni, Alberto [2 ,3 ]
机构
[1] Univ Bologna, Dept Med & Surg Sci, Bologna, Italy
[2] St Anna Sch Adv Studies, Interdisciplinary Res Ctr Hlth Sci, Pisa, Italy
[3] Fdn Monasterio, Cardiol & Cardiovasc Med Dept, Pisa, Italy
[4] Stanford Univ, Dept Med, Stanford, CA USA
来源
BMJ OPEN | 2025年 / 15卷 / 01期
关键词
Telemedicine; eHealth; Health Services Accessibility; Systematic Review; Waiting lists; HEALTH-CARE; FORWARD TELEDERMATOLOGY; IMPROVED ACCESS; PATIENT ACCESS; SERVICES; IMPACT; TELEHEALTH; PROGRAM; IMPLEMENTATION; ECONSULTS;
D O I
10.1136/bmjopen-2024-088153
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives Population ageing and the rise in chronic diseases place continual stress on healthcare systems. Scarce resources often impede equitable access to healthcare, particularly in rural areas, resulting in prolonged waiting times and heightened risks of morbidity and mortality. Telemedicine has emerged as a promising solution, offering remote and equitable care that could potentially bridge access gaps and enhance health outcomes. This systematic review aims to quantitatively examine the impact of telemedicine implementation on waiting times, defined as the time passed from the booking of a visit for an outpatient to the administration of the service.Design A systematic review was conducted using studies on telemedicine interventions that specifically addressed waiting times. Bias assessment was performed with three tools: ROBINS-I ("Risk of Bias In Non-Randomized Studies of Interventions"), AXIS ("Appraisal tool for Cross-Sectional Studies") and RoB-2 ("Risk of Bias-2"). A weighted mean approach was used to synthesise results, with medians synthesised using a median approach.Data sources Articles in English were retrieved from the PubMed and Scopus databases.Eligibility criteria Studies were excluded if they did not specifically address waiting times related to telemedicine interventions. Only studies that considered waiting times defined as the time passed from the booking of a visit for an outpatient to the administration of the service and any telemedicine intervention were included.Data extraction and synthesis A total of 53 records were included, encompassing 270 388 patients in both the experimental and control groups. The weighted mean reduction in waiting times was calculated, and bias was assessed. No record was evaluated to be at high risk of bias, with 69.8% of studies evaluated at low risk and 26.4% at moderate risk (3.8% were surveys). Results were synthesised using a weighted mean approach for studies reporting means, and a median approach for studies reporting medians.Results Overall, a weighted mean reduction of 25.4 days in waiting times was observed. Focusing on clinical specialties (n=114 042), the weighted mean reduction amounted to 34.7 days, while in surgical patients (n=156 346), telemedicine was associated with a weighted mean of 17.3 days saved.Conclusions The implementation of telemedicine solutions may significantly improve waiting times, potentially leading to more efficient and equitable healthcare systems.PROSPERO registration number CRD42023490822.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Reducing wait times to surgery-an international review
    Stafinski, Tania
    Nagase, Fernanda N. I.
    Brindle, Mary E.
    White, Jonathan
    Young, Andrea
    Beesoon, Sanjay
    Cleary, Susan
    Menon, Devidas
    JOURNAL OF HOSPITAL MANAGEMENT AND HEALTH POLICY, 2022, 6
  • [2] Reducing wait times to surgery-an international review
    Stafinski, Tania
    Nagase, Fernanda N. I.
    Brindle, Mary E.
    White, Jonathan
    Young, Andrea
    Beesoon, Sanjay
    Cleary, Susan
    Menon, Devidas
    JOURNAL OF HOSPITAL MANAGEMENT AND HEALTH POLICY, 2022, 6
  • [3] Reducing patient wait times in a head and neck cancer outpatient clinic: A pilot study
    Silver, Natalie
    Weber, Randal S.
    Lozano, Miguel
    Hessel, Amy
    Meade, Jeremy
    Moore, Judy
    Hanna, Ehab
    Lewis, Carol
    LARYNGOSCOPE, 2020, 130 (04): : E151 - E156
  • [4] Effectiveness of Telemedicine for Reducing Cardiovascular Risk: A Systematic Review and Meta-Analysis
    Jaen-Extremera, Jesus
    Afanador-Restrepo, Diego Fernando
    Rivas-Campo, Yulieth
    Gomez-Rodas, Alejandro
    Aibar-Almazan, Agustin
    Hita-Contreras, Fidel
    Carcelen-Fraile, Maria del Carmen
    Castellote-Caballero, Yolanda
    Ortiz-Quesada, Raul
    JOURNAL OF CLINICAL MEDICINE, 2023, 12 (03)
  • [5] Driving Improvement in Outpatient Phlebotomy Wait Times through Data, Systems, and Behaviors
    Simonetti, Anthony
    Kubiak, Daniel
    Schroeter, Daniel
    Gomez, Erron
    Yerian, Lisa
    AMERICAN JOURNAL OF CLINICAL PATHOLOGY, 2016, 146
  • [6] Reducing outpatient dermatology clinic wait times in a safety net health system in Dallas, Texas
    O'Brien, Jack C.
    Chong, Benjamin F.
    JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 2016, 75 (03) : 631 - 632
  • [7] REDUCING PATIENT WAIT TIMES AND CLINIC LENGTH THROUGH CARE DELIVERY MODIFICATION
    Hoffert, G.
    McIntosh, I. D.
    Young, A.
    Christie, G.
    Lemire, J.
    McTaggart, N.
    Okrainetz, S.
    Tarasoff, S.
    PEDIATRIC PULMONOLOGY, 2016, 51 : 473 - 473
  • [8] Interventions to reduce wait times for primary care appointments: a systematic review
    Dominique Ansell
    James A. G. Crispo
    Benjamin Simard
    Lise M. Bjerre
    BMC Health Services Research, 17
  • [9] Interventions to reduce wait times for primary care appointments: a systematic review
    Ansell, Dominique
    Crispo, James A. G.
    Simard, Benjamin
    Bjerre, Lise M.
    BMC HEALTH SERVICES RESEARCH, 2017, 17
  • [10] Reducing wait time from referral to first visit for community outpatient services may contribute to better health outcomes: a systematic review
    Lewis, Annie K.
    Harding, Katherine E.
    Snowdon, David A.
    Taylor, Nicholas F.
    BMC HEALTH SERVICES RESEARCH, 2018, 18